Dear Leaders of St Lucia in the Caribbean, Philip J. Pierre & Felix Finisterre,
Frangipani (Plumeria): The island country of St Lucia - Philip J. Pierre & Felix Finisterre
- Scott GK MacLeod
Founder, President, CEO & Professor
at / of best STEAM CC licensed OCW, Wiki,
World University & School (WUaS)
- USPS US Post Office, PO Box 132, General Delivery, Canyon, CA 94516
1) non-profit 501(c)(3) Public Charity
building on CC-4 licensed MIT OCW in 7 languages -
http://
2) for profit general stock company WUaS Corporation in CA - http://
- wuas_ceo@
https://wiki.
World University & School Innovation Research -
- http://scottmacleod.com
- https://twitter.com/
- https://x.com/Q_
- http://www.linkedin.com/in/
- https://twitter.com/
- https://scott-macleod.
- https://
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searched on "realistic virtual earth world university and school for aging reversal genetics" -and found "to host free online university degrees and research hubs, including a specialized school for aging reversal genetics." [1]
- Open-Access Global Model: WUaS aims to offer free, Wikipedia-style online education (from Bachelor’s to Ph.D. and M.D. levels) across 200 countries and in multiple languages. [1]
- Immersive STEM Modeling: The #RealisticVirtualEarthForSTEM framework uses advanced geospatial and virtual cell technology to simulate complex biological processes on a planetary scale. [1]
- Decentralized Research: It serves as a virtual collaborative campus where international scientists can model genetic interventions in real time. [1]
- Virtual Cell Simulation: Advanced simulation platforms (similar to emerging virtual cell and biological age models) allow researchers to test gene knockouts, drug targets, and microenvironment changes digitally before physical lab trials. [1]
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Insilico Medicine Introduces Biological Age into Virtual Cell Research: Launches Virtual Aging Cell Webpage and Previews Multi-Agent Driven VAC Generation Platform

Virtual cells are digital models that leverage artificial intelligence (AI) and mathematical modeling to computationally simulate cellular biology and its underlying dynamic laws. They offer powerful capabilities to predict drug responses, elucidate disease mechanisms, and support target discovery.Recognized as a frontier technology, virtual cells were named one of the seven technology breakthroughs to watch in 2025 by Nature, quickly becoming a focal point of competitive research for top global teams.
However, most existing models rely predominantly on data collected at isolated time points, capturing cells as static snapshots. Their capacity to simulate dynamic temporal processes—such as cellular differentiation, reprogramming, and aging—as well as multi-scale interactions across biological hierarchies, remains markedly constrained. Living cells are not frozen biological units; rather, they are constantly undergoing dynamic processes including division, differentiation, aging, and environmental response. A cell's state is intricately shaped by intracellular molecular networks, intercellular communications, tissue microenvironments, and individual background parameters. Consequently, integrating the temporal axis, biological age, and external interventions into a unified computational framework has emerged as a crucial trajectory for the evolution of virtual cell research.
The Virtual Aging Cell (VAC) concept introduced by Insilico directly addresses this emerging frontier. Built around biological age as a core conditional variable, the platform utilizes a multi-agent AI architecture to perform collaborative reasoning across six biological scales—molecular, intracellular, intercellular, tissue, organ, and organism/population. It aims to dynamically simulate cellular differentiation, reprogramming, and aging, offering robust computational support for target identification, cellular fate intervention, novel drug discovery, and geroscience research.
"Every computational model needs a first principle, and ours is biological age," said Alex Zhavoronkov, PhD, Founder, Co-CEO, and Chief Business Officer of Insilico Medicine. "This has been a decade-long scientific journey, from raising an industry-defining question at NVIDIA GTC in 2014, to teaching AI the language of aging biology with the PreciousGPT series, and now reimagining the virtual cell through agentic AI swarms. The VAC represents the convergence of this thesis: a platform that doesn't just read biological data, but conditionally generates the very trajectory of life's evolution. We look forward to collaborating with global pharmaceutical companies and research institutions in modeling virtual cells, virtual systems, and virtual populations across both healthy and diseased states."Insilico Medicine ("Insilico", HKEX: 3696), a clinical-stage drug discovery company powered by generative artificial intelligence (AI), today announced the launch of its Virtual Aging Cell (VAC) Webpage alongside the preview of the company’s Multi-Agent driven VAC platform.
Virtual cells are digital models that leverage artificial intelligence (AI) and mathematical modeling to computationally simulate cellular biology and its underlying dynamic laws. They offer powerful capabilities to predict drug responses, elucidate disease mechanisms, and support target discovery.Recognized as a frontier technology, virtual cells were named one of the seven technology breakthroughs to watch in 2025 by Nature, quickly becoming a focal point of competitive research for top global teams.
However, most existing models rely predominantly on data collected at isolated time points, capturing cells as static snapshots. Their capacity to simulate dynamic temporal processes—such as cellular differentiation, reprogramming, and aging—as well as multi-scale interactions across biological hierarchies, remains markedly constrained. Living cells are not frozen biological units; rather, they are constantly undergoing dynamic processes including division, differentiation, aging, and environmental response. A cell's state is intricately shaped by intracellular molecular networks, intercellular communications, tissue microenvironments, and individual background parameters. Consequently, integrating the temporal axis, biological age, and external interventions into a unified computational framework has emerged as a crucial trajectory for the evolution of virtual cell research.
The Virtual Aging Cell (VAC) concept introduced by Insilico directly addresses this emerging frontier. Built around biological age as a core conditional variable, the platform utilizes a multi-agent AI architecture to perform collaborative reasoning across six biological scales—molecular, intracellular, intercellular, tissue, organ, and organism/population. It aims to dynamically simulate cellular differentiation, reprogramming, and aging, offering robust computational support for target identification, cellular fate intervention, novel drug discovery, and geroscience research.
"Every computational model needs a first principle, and ours is biological age," said Alex Zhavoronkov, PhD, Founder, Co-CEO, and Chief Business Officer of Insilico Medicine. "This has been a decade-long scientific journey, from raising an industry-defining question at NVIDIA GTC in 2014, to teaching AI the language of aging biology with the PreciousGPT series, and now reimagining the virtual cell through agentic AI swarms. The VAC represents the convergence of this thesis: a platform that doesn't just read biological data, but conditionally generates the very trajectory of life's evolution. We look forward to collaborating with global pharmaceutical companies and research institutions in modeling virtual cells, virtual systems, and virtual populations across both healthy and diseased states."
A decade of Foundation: From Virtual Cell Concept to PreciousGPT Series
At the 2014 NVIDIA GTC conference, Insilico first articulated its vision for computational virtual cells, virtual organs, and digital populations, posing a now-famous industry question — "Can NVIDIA help solve aging?" — officially inaugurating the company's use of high-performance computing and AI to investigate the mechanisms of aging.
To translate this theoretical vision into practice, the company subsequently partnered with BioTime, a pioneer in regenerative medicine and stem cell research, on a deep collaboration called Embryonic.AI, which used Deep Neural Network Ensembles to track and modulate cell differentiation trajectories and cell fate decisions during the Embryonic-to-Fetal Transition (EFT).
In 2017, the two teams published their findings in Oncotarget, confirming that AI algorithms successfully identified COX7A1 as a key transition factor in the embryonic transformation stage. This was not only Insilico's first experimentally validated AI target discovery result, but also the first demonstration to the field that artificial intelligence could precisely capture the switches governing cell differentiation, reprogramming, and cell conversion, laying the biological foundation for subsequent virtual cell simulation.
With the rapid advancement of large model technology, Dr. Alex Zhavoronkov first proposed applying multimodal Transformers to aging research at the Gordon Research Conference (GRC) in May 2022. To explore the potential of multimodal Transformers and diffusion models in life sciences, the company's AI team initiated model development that same year, building on years of accumulated expertise in aging biology and multi-omics modeling to progressively construct the PreciousGPT series of scientific foundation models dedicated to aging mechanism analysis and multi-omics generation.
In 2023, Insilico released Precious1GPT, an aging clock based on multimodal Transformers and transfer learning. The model integrated DNA methylation (epigenetic) and transcriptomic data to predict biological age and distinguish disease from control samples. Using this model, the team identified dual-purpose targets such as APLNR and IL23R, with both anti-aging and anti-age-related-disease potential. The results were published in Aging, a leading journal in the field.
Insilico further expanded the model's capabilities from evaluation and prediction to conditional generation. Released in 2024, Precious2GPT fused a Conditional Diffusion model (CDiffusion) with a decoder-only Multi-Omics Pre-trained Transformer (MoPT), capable of generating high-quality synthetic multi-omics data carrying specific tissue and age characteristics. The model's age prediction accuracy on generated data outperformed baseline models such as conditional GANs. This research was published in npj Aging, a Nature portfolio journal.
That same year, Insilico collaborated with the Vadim N. Gladyshev Lab at Harvard Medical School to release Precious3GPT. As a true multimodal Transformer, the model integrated text, tabular data, and knowledge graph representations, covering four species, including mouse, rat, monkey, and human, and three omics modalities: transcriptomics, methylation, and proteomics. It could perform cross-species age prediction, target discovery, disease/tissue/sex classification, and compound sensitivity prediction within a unified framework. Its synthetic data generation used "biological age" as one of the conditional inputs, ensuring that generated omics data carried age and time labels. The model was open-sourced on Hugging Face and GitHub concurrent with its release as a bioRxiv preprint.

“Biology unfolds across time and interconnected levels, yet many computational models examine only one layer or moment in isolation,” said Petrina Kamya, Ph.D., Vice President, Global Head of AI Platforms and President of Insilico Medicine Canada. “VAC is designed to bring those dimensions together, combining biological age with multi-agent reasoning to explore how changes in a cell’s age affect tissues, organs, and the broader organism. Our goal is to create a more dynamic environment for studying disease, evaluating interventions, and finding new opportunities for drug discovery.”
Agentic AI Driven: From Molecular Simulation to Organism Evolution
Unlike most industry approaches that treat the cell as a "static snapshot" at a particular moment, cells in living organisms exist within a network of multi-scale interactions and continuous dynamic evolution. To capture this biological complexity, Insilico constructed a multi-agent collaborative architecture VAC platform, redefining the computational biology paradigm across three core dimensions:
- Biological time as a core condition. Unlike static expression profile prediction, the multi-agent architecture treats "biological age" as the core conditional variable that penetrates every scale. When reasoning about cell differentiation, reprogramming, or disease progression, the agent swarm can dynamically assess the differential responses of tissue microenvironments across young, mature, and aged life stages, ensuring that biological time naturally permeates every reasoning step.
- Six-scale agent swarm collaboration. Rather than attempting to compress all biological data into a single Transformer or graph neural network, the VAC system deploys agent swarms spanning different functions and scale gradients. Master Agents handle global task scheduling and cross-level logic integration, while Specialist Agents execute specialized tasks at each level. Individual agents can independently access databases, omics tools, and literature knowledge graphs, and engage in adaptive negotiation and joint reasoning across six biological scales — molecular, intracellular, intercellular, tissue, organ, and organism.
- From state observation to fate intervention. Traditional virtual cells are largely limited to one-directional state description and expression profile imputation. The VAC platform, by contrast, is designed to answer the question "how to reverse and reshape cell fate." When the system simulates interventions such as drug-target inhibition, gene knockout, or specific environmental stimuli, agents at each level can reason in real time about microenvironment changes, downstream pathway cascades, and cross-scale structural remodeling from micro to macro — providing end-to-end reasoning for stem cell reprogramming and systemic anti-aging strategies.
"What distinguishes VAC is not the number of hierarchical levels or agents, but the combination of bidirectional Master Agent coordination and first-class organism context storage. Among the papers we surveyed, no existing system simultaneously possesses these features: six biological hierarchies, an agent for every biological entity, dual top-down and bottom-up Master Agents, and a shared organism context that prioritizes age as a variable. The preview we are going to release is an important step toward a virtual cell that can model not just states, but changes." Vladimir Naumov, Ph.D., Head of TargetID of Insilico Medicine.
By deeply fusing the omics perception capabilities of the PreciousGPT foundation models with the cross-scale reasoning capabilities of the VAC multi-agent architecture, the VAC platform achieves a leap from single-omics "snapshot" characterization to "dynamic biological system simulation" spanning health and disease states — providing a highly interpretable digital testing environment for target identification, cell reprogramming protocol design, and anti-aging drug evaluation.
Platform Preview and Future Horizons
As an AI-native company, Insilico is setting industry records by redefining the efficiency and scalability of drug discovery through its advanced AI platform and automation lab. While traditional early-stage drug discovery typically spans 2.5 to 4 years, Insilico consistently reaches developmental candidate (DC) nomination in an average of just 12 to 18 months, synthesizing and testing only 60 to 200 molecules per program.
Since 2021, the company has nominated 33 PCCs, 13 of which have received IND approvals or clearances. Notably, 9 of these DC nominations have been announced since the beginning of 2026, including 2 candidates originating in the UAE, the first milestone in the region’s history. These achievements fully demonstrated the scalability and efficiency of Insilico’s AI-driven R&D productivity.
Building on this AI-driven momentum, Insilico has successfully achieved clinical validation for multiple AI-discovered and AI-designed molecules generated by its Pharma.AI platform. Its most advanced program, Rentosertib, completed a Phase IIa clinical trial establishing proof of concept for safety and efficacy trends, with landmark findings published in Nature Medicine in March 2025.
This track record, combined with the vast repository of proprietary data accumulated through its R&D engine, provides robust, real-world grounding for the Virtual Aging Cell platform’s dry-lab and wet-lab validation loop and target authenticity.
For more information about Insilico’s Virtual Aging Cell, please visit: https://virtualcell.
- Scott GK MacLeod
Founder, President, CEO & Professor
at / of best STEAM CC licensed OCW, Wiki,
World University & School (WUaS)
- USPS US Post Office, PO Box 132, General Delivery, Canyon, CA 94516
1) non-profit 501(c)(3) Public Charity
building on CC-4 licensed MIT OCW in 7 languages -
http://
2) for profit general stock company WUaS Corporation in CA - http://
- wuas_ceo@
https://wiki.
World University & School Innovation Research -
- http://scottmacleod.com
- https://twitter.com/
- https://x.com/Q_
- http://www.linkedin.com/in/
- https://twitter.com/
- https://scott-macleod.
- https://
* * *
Current 8 States & Regions
California: Northern and Southern CA (largest region)
Colorado: Denver and surrounding areas
Georgia: Greater Atlanta area
Hawaii: Statewide services
Maryland: Mid-Atlantic region
Oregon: Pacific Northwest / Southwest Washington
Virginia: Mid-Atlantic region
Washington: State-wide coverage [1]
National Expansion Strategy
Risant Health: Created as a non-profit organization to expand value-based care nationwide.
Geisinger Acquisition: Integrated as the first health system under the Risant Health umbrella (operating in Pennsylvania and expanding).
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Are there any medical schools teaching hospitals (e.g. surgery) in buses especially for the developing world?
- No Degree-Granting Mobile Hospitals: Performing complex surgery and running a full residency or medical school curriculum requires permanent infrastructure—such as reliable power, sterile central processing, large-volume blood banks, intensive care units, and multi-tiered faculty. Because of this, formal university teaching hospitals remain land-based.
- Specialized Training & Treatment Buses: Converted buses, vans, and modular trucks are frequently deployed for targeted medical delivery and hands-on professional upskilling. For example, specialized programs like the Mobile GI Surgical Training Bus launched by AIG Hospitals travel to different regions to provide simulation and minimally invasive surgical education to practicing doctors. [1]
- Hospital on Wheels: Programs in resource-limited areas (such as initiatives in the Philippines and parts of Africa/South Asia) use buses or retrofitted trucks for community screenings and minor outpatient procedures, occasionally serving as rotation sites for short community-health observations rather than core surgical residencies. [1]
- Container and Trailer Units: Organizations like Hospitainer and Doctors Without Borders build rapid mobile surgical units inside ISO shipping containers or semi-truck trailers for disaster relief and conflict zones, though these focus on acute patient care rather than medical school education. [1, 2]
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humanoid robots as md professors of surgery?
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Excited for #HarvardAARD conference eg https://agingpharma.org/program2026#virtual-cell-in-time 1) Add #VirtualCellInTime to #AvatarAgentEHR as #DigitalTwins for 7.9B people in #RealisticVirtualEarthForGenetics ...?
Excited for #HarvardAARD conference eg https://t.co/JWjRXVZ6oY 1) Add #VirtualCellInTime to #AvatarAgentEHR as #DigitalTwins for 7.9B people in #RealisticVirtualEarthForGenetics, #RVEforAgingReversal? 2) Dev #MITOCW-like courses re https://t.co/hJoNCM0lei? 3) Prove #AgeReversal? https://t.co/jTDXXlR6AQ
— WorldUnivandSch (@WorldUnivAndSch) September 17, 2026
https://x.com/WUaSPress/
https://x.com/Q_YogaMacFlower/
https://x.com/sgkmacleod/
https://x.com/HarbinBook/
https://x.com/scottmacleod/
https://x.com/TheOpenBand/
Retweeting again
Sundar Pichai
https://x.com/sundarpichai/
Sundar Pichai
@sundarpichai
Today we have set out how we’re building AI to accelerate science and improve people’s lives. Just some examples in the last week or so:
- Mapped all 9B possible single letter genetic changes across the human genome with AlphaGenome Atlas and made it openly available to researchers.
- Billions of decisions depend on weather predictions so we introduced WeatherNext 3, our most accurate and capable global weather AI model to date.
- We published AI & Economy ATLAS, a comprehensive open-access look at how people are using AI globally.
- AI has enabled extraordinary advances in language translation. Today our services are available in nearly 300 languages, spoken by 7B people
We’re focusing our efforts on four key areas: health, natural disaster and weather resilience, learning, and economic opportunity. https://blog.google/
https://x.com/sundarpichai/
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NIH-funded research showing that semaglutide, a GLP-1 medication, extended lifespan and improved several measures of health in older mice ...
NIH-funded research showing that semaglutide, a GLP-1 medication, extended lifespan and improved several measures of health in older mice ... To https://t.co/XZu5d2PUt2 & https://t.co/6bxgFCI2ng ? New #WUaSExtremeLongevityGenetics' #WUaSWikiSchool @WorldUnivAndSch @WUaSPress ? https://t.co/90IX4yksHO
— WorldUnivandSch (@WorldUnivAndSch) September 17, 2026
? ... Might I even meet a friend - with parallels to the St Lucia British expatriate woman - also a MD even at the Harvard AARD conference or at Friends Meeting at Cambridge who is based in the SF Bay Area, and might want to begin a family ...? ... Received another shred-it spam this morning where I was van-camping near the Natural Arches Butterfly park in Santa Cruz, ... leading me to wonder further about international organized crime and the murderous run through attempt of me in Pgh by cmu student french-swiss-epfl or Lebanese soldier??? frederic khayat receiving us federal social security checks after a while - in April 2023 ... and the gunshot to roof of my vehicle near the chabot space and science center in the Oakland hills on M May 18, 2026 ... and the 5 tesla-company related death threats too ... and was that black car that pulled in front of my parked van just as I began to Yoga meditate this morning and then away, and then again I think pulled out in front of me just at the corner turning right to head into the Natural Arches butterfly park the shooter even, as I turned left along the Pacific ocean road ... and a psychopath??? Did law enforcement get the shooter ? ... And when might I move forward into a newly safe vacant with property deed 670 Ridgecrest Rd, Canyon 94516 ... and also to knock back international organized crime in the sf east bay in the process ... and to raise a family there, I wonder? ... I have ongoing concerns about the wrongful buying and selling of people in the illegal sex, drugs, violence, car theft, military targeting industries ... and in growing a WUaS worldwide abolition movement to protect people ... Should I be concerned about St Lucia? ... about KP (in 8 US states) ... as they seek to head into Nevada? about Pgh hospitals too, re what you said on the phone on Tuesday Ma ? And how could Pi Cryptocurrency for all 7.9 billion people and to end poverty too and for avatar agent electronic health records for extreme longevity genetic drug therapies help potentially, and re law enforcement and a cultural shift to counterculture??? somehow possibly too? Yogically, fondly, warm regards, abolitionally, Scott (https://scott-macleod.- Scott GK MacLeod
Founder, President, CEO & Professor
at / of best STEAM CC licensed OCW, Wiki,
World University & School (WUaS)
- USPS US Post Office, PO Box 132, General Delivery, Canyon, CA 94516
1) non-profit 501(c)(3) Public Charity
building on CC-4 licensed MIT OCW in 7 languages -
http://
2) for profit general stock company WUaS Corporation in CA - http://
- wuas_ceo@
https://wiki.
World University & School Innovation Research -
- http://scottmacleod.com
- https://twitter.com/
- https://x.com/Q_
- http://www.linkedin.com/in/
- https://twitter.com/
- https://scott-macleod.
- https://
*
Excited for #HarvardAARD conference eg https://agingpharma.org/
https://x.com/WorldUnivAndSch/
https://x.com/WUaSPress/
https://x.com/Q_YogaMacFlower/
https://x.com/sgkmacleod/
https://x.com/HarbinBook/
Retweeting again
Sundar Pichai
https://x.com/sundarpichai/
*
https://de.wikipedia.org/wiki/Westindische_Frangipani
https://worldsensorium.com/saint-lucia/
https://en.wikipedia.org/wiki/Plumeria
https://simple.wikipedia.org/wiki/Frangipani
....

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